Torry harris is hiring a python developer data analyst for remote work
About Role
As a Python Developer Data Analyst at Torry Harris, you will be responsible for designing, developing, and maintaining Python-based data analysis solutions. You will work closely with our data scientists and business analysts to gather and understand requirements, and then transform them into efficient and scalable Python code.
The role of a Python Developer Data Analyst is a crucial one in today’s data-driven world. This role is responsible for using Python programming language to analyze, interpret, and present data to help organizations make informed decisions. Python Developer Data Analysts play a key role in transforming raw data into actionable insights, allowing businesses to streamline their operations and improve their performance.
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Torry harris is hiring a python developer data analyst for remote work
| Job ID | 62149 |
| Job Role | Data Analyst |
| Education Qualifications | BE/B.Tech or Other Tech Degree |
| Salary Package | 4 to 6 LPA or as per company standards |
| Experience | Fresher |
| Job Location | Remote ( work from home ) |
| Last apply date | ASAP |
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Qualifications
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field
- Proven experience as a Python Developer or Data Analyst
- Proficiency in Python and its data analysis libraries (e.g. pandas, numpy, matplotlib)
- Solid understanding of statistical analysis, machine learning, and data visualization
- Experience with database management systems (e.g. SQL, NoSQL)
- Strong problem-solving and analytical skills
- Excellent communication and teamwork abilities
- Knowledge of cloud platforms, such as AWS or Azure, is a plus
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Responsibility
- Develop and maintain Python-based data analysis solutions
- Collaborate with data scientists and business analysts to understand and fulfill requirements
- Design and implement data processing and manipulation pipelines
- Analyze and visualize complex data sets to derive insights and make recommendations
- Build and maintain data models and algorithms
- Ensure the security, privacy, and integrity of data
- Support and troubleshoot data-related issues
- Stay up to date with the latest trends and technologies in data analysis and Python development
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1. Data Collection and Analysis: The primary responsibility of a Python Developer Data Analyst is to collect and analyze large sets of data using Python programming language. This includes cleaning, organizing, and processing data to ensure accuracy and reliability.
2. Developing Data Models: Python Developer Data Analysts are responsible for creating data models and algorithms to extract valuable information from data. This may involve using Python libraries such as Pandas, NumPy, and Scikit-learn to perform statistical analysis, machine learning, and predictive modeling.
3. Data Visualization: Python Developer Data Analysts are tasked with presenting data findings in a clear and understandable manner. They use Python libraries such as Matplotlib, Seaborn, and Plotly to create visualizations and dashboards that communicate complex data insights to non-technical stakeholders.
4. Coding and Scripting: Python Developer Data Analysts write and maintain Python scripts and code to automate data processing tasks and build data pipelines. They use Python’s extensive libraries and tools to create efficient and scalable solutions for handling and manipulating data.
5. Collaboration with Data Science and Engineering Teams: Python Developer Data Analysts work closely with data science and engineering teams to understand project requirements, contribute to data infrastructure design, and ensure that analyses and models are integrated into production systems.
6. Data Management and Security: Python Developer Data Analysts also collaborate with IT and security teams to ensure that data is managed and protected according to company policies and best practices.
7. Staying Up-to-Date with Industry Trends: It is vital for Python Developer Data Analysts to stay updated with the latest trends and developments in data analytics and Python programming. They need to continually learn new tools and techniques to improve their skills and stay competitive in the field.
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Perk & Benefit
- Competitive salary and benefits package
- Opportunities for professional development and growth
- Collaborative and inclusive work environment
- Exciting and challenging projects with leading global clients
- Work-life balance and flexible working options
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Apply Here : Torry Harris Is Hiring A Python Developer Data Analyst